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Effect of basicity on metallurgical properties of magnesium fluxed pellets

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Journal of Iron and Steel Research International 2020年第3期27卷 239-247页

作者： Jie Li Hai-fei An Wei-xing Liu ai-min yang Man-sheng Chu College of Metallurgy and Energy North China University of Science and TechnologyTangshan 063000.HebeiChina Hebei Key Laboratory of Data Science and Applications North China University of Science and TechnologyTangshan 063000HebeiChina School of Metallurgy Northeastern UniversityShenyang 110819LiaoningChina

Magnesium fluxed pellets are the focus of blast furnace burden research for reducing environmental *** pelletizing,roasting and metallurgical properties of a Chinese fine magnetite ore with the addition of magnesium flux were experimentally tested,and the effects of basicity on the consolidation behavior,compressive strength,and reducibility of magnesium fluxed pellets were systematically ***,the mechanisms were analyzed by means of thermodynamics calculation and scanning electron microscopy-energy-dispersive spectrometry analysis *** results show that the consolidation behavior of magnesium fluxed pellets during roasting process was obviously promoted with increasing the basicity of the magnesium fluxed *** compressive strength increased firstly and then decreased,reaching the maximum value of 2352 N/pellet with the basicity of *** reduction degree increased gradually with enhancing the basicity owing to the fact that the decomposition of the added CaCO^could increase the porosity of pellets,thereby increasing the CO diffusion in pellet during ***,the reduction swelling index was improved with increasing the basicity because the generated calcium feirite could effectively suppress the growth of iron whiskers.

关键词： Magnesium fluxed pellet Basicity Compressive strength Reduction degree Reduction swelling

Cascade model for continuous prediction of silicon content of molten iron with coupled state variable nodes

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Journal of Iron and Steel Research International 2023年第5期30卷 897-914页

作者： yang Han Ze-qian Cui Li-jing Wang Jie Li ai-min yang Yu-zhu Zhang Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes North China University of Science and TechnologyTangshan 063210HebeiChina College of Metallurgy and Energy North China University of Science and TechnologyTangshan 063210HebeiChina

With the goal of achieving advanced and multi-step prediction of silicon content of molten iron in the blast furnace ironmaking process,a path adaptive optimization seeking strategy coupled with simulated annealing algorithm and genetic algorithm was proposed from the perspective of innovative intelligent algorithm *** was further coupled with wavelet neural network algorithm to deeply explore the nonlinear and strong coupling relationship between the information of big data samples and construct a cascade model for continuous prediction of silicon content of molten iron with the intelligent research results of state variables such as permeability index as the node and silicon content forecast as the *** the model construction process,the 3r criterion was used for non-anomaly estimation of abnormal data to build a time-aligned sample set for multi-step forecasting of iron content,the normalization method was used to eliminate the influence of dimensionality of sample information,and the spearman correlation analysis algorithm was used to eliminate the time delay between state variables,control variables,and silicon content of molten iron in the blast furnace smelting *** results show that permeability and theoretical combustion temperature as the key state variable nodes have real-time correlation with the silicon content of molten iron,and there are accurate forecasting results on the optimal path with the endpoint of molten iron silicon content *** path finding based on the improved genetic algorithm of simulated annealing has good effect on the downscaling and depth characterization of sample data and improves the data ecology for the application of wavelet neural network *** accuracy of the real-time continuous forecasting model for the silicon content of molten iron reaches 95.24%;the hit rate of continuous forecasting one step ahead reaches 91.16%,and the hit rate of continuous forecasting five steps ahead is 87.41

关键词： Silicon content Molten iron Optimal path State variable node Wavelet neural network Step-by-step prediction

Study on the influence of humic acid of different molecular weight on basic ion exchange resin's adsorption capacity

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Chinese Chemical Letters 2009年第12期20卷 1478-1482页

作者： Jin Nan Wang ai min Li yang Zhou Li Xu State Key Laboratory of Pollution Control and Resource Reuse & School of the Environment Nanjing University Nanjing 210093 China

In this paper, humic acid （HA） was ultra-filtered into different molecular weight sections and was characterized by multielement analysis, UV254/TOC, FT-IR and three-dimensional fluorescence spectrometric. Since humic acids of different molecular weights have different hydrophilic and molecular size, the maximum adsorption capacity of basic ion exchange resins appears on the humic acid whose molecular weight ranges from 6000 to 10,000 Da.

关键词： Humic acid Molecular weight Basic ion exchange resin Adsorption

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Study of Ecological Water Demand of Rivers in Shenyang City, Northeastern China

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Journal of Groundwater Science and Engineering 2014年第1期2卷 73-77页

作者： Yun TANG Ke-wang TANG Yan WANG ai-min yang Dept. of Water Resources China Institute of Water Resources & Hydropower Research (IWHR)

The ultimate goal of the protection and restoration of water ecosystem is intended to facilitate the healthiness of ecosystems in rivers and lakes, and the basic premise of river healthiness is to ensure the ecological water demand of rivers. Shenyang City is the economic and cultural center of Northeastern China, and most rivers in the territory of Shenyang City are plagued with the ecology and environment problems such as dry-up of river way, wetland shrinkage and groundwater overdraft. In protection and restoration of water ecosystem, Shenyang City should first study the ecological water demand of rivers. In this paper, we first defined the connotation, composition and calculation method of ecological water demand of rivers and selected eight major rivers in Shenyang City for ecological water demand study and calculation according to the characteristics of the rivers and water resources conditions in Shenyang City. We calculated the basic eco-environmental water demand and consumptive water demand for evaporation and seepage of river ways respectively and thus obtained the total eco-environmental water demand for eight rivers. In total eco-environmental water demand of rivers, consumptive water demand for evaporation and seepage of river ways accounts for 51% and the eco-environmental water demand of rivers accounts for 49%.

关键词： Water demand Ecosystem Shenyang City

Environmental heavy metals and cardiovascular diseases:Status and future direction

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Chronic Diseases and Translational Medicine 2020年第4期6卷 251-259页

作者： ai-min yang Kenneth Lo Tong-Zhang Zheng Jing-Li yang Ya-Na Bai Ying-Qing Feng Ning Cheng Si-min Liu Hong Kong Institute of Diabetes and Obesity The Chinese University of Hong KongHong Kong SARChina Centre for Global Cardiometabolic Health Department of EpidemiologySurgeryand MedicineBrown UniversityProvidenceRI 02903USA Department of Epidemiology School of Public HealthBrown UniversityProvidenceRI 02903USA Department of Cardiology and Endocrinology Guangdong Provincial People's HospitalGuandong Academy of Medical SciencesGuangzhouGuangdong 510080China Department of Epidemiology School of Public HealthLanzhou UniversityLanzhouGansu 730000China

Cardiovascular disease(CVD)and environmental degradation are leading global health problems of our *** studies have linked exposure to heavy metals to the risks of CVD and diabetes,particularly in populations from low-and middle-income countries,where concomitant rapid development *** this review,we 1)assessed the totality,quantity,and consistency of the available epidemiological studies,linking heavy metal exposures to the risk of CVD(including stroke and coronary heart disease);2)discussed the potential biological mechanisms underlying some tantalizing observations in humans;and 3)identified gaps in our knowledge base that must be investigated in future *** accumulating body of evidence from both experimental and obser-vational studies implicates exposure to heavy metals,in a dose-response manner,in the increased risk of *** limitations of most existing studies include insufficient statistical power,lack of comprehensive assessment of exposure,and cross-sectional *** the widespread exposure to heavy metals,an urgent need has emerged to investigate these putative associations of environmental exposures,either independently or jointly,with incident CVD outcomes prospectively in well-characterized cohorts of diverse populations,and to determine potential strategies to prevent and control the impacts of heavy metal exposure on the cardiometabolic health outcomes of individuals and populations.

关键词： Heavy metal Cardiovascular disease Hypertension Stroke Coronary heart disease

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人工智能生成内容确权模式的嬗变与数据财产权的确立

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苏州大学学报（哲学社会科学版） 2024年第1期45卷 88-99页

作者：齐爱民杨煜重庆大学法学院重庆400044

人工智能生成内容已深入应用到社会生产生活当中。在数据确权制度诞生之前,各国立法、司法和理论界大多主张以著作权法保护人工智能生成的数据。由于狭义著作权确权模式饱受“独创性”诟病,转而走向邻接权确权模式。然而,透过人工智能... 详细信息

人工智能生成内容已深入应用到社会生产生活当中。在数据确权制度诞生之前,各国立法、司法和理论界大多主张以著作权法保护人工智能生成的数据。由于狭义著作权确权模式饱受“独创性”诟病,转而走向邻接权确权模式。然而,透过人工智能生成内容的技术和法律本质可以看出,该客体和邻接权的保护客体以及设立目的并无相关之处,盲目扩大邻接权的保护范围不仅会遭到理论与制度的挑战,而且在司法实践中也会捉襟见肘。因此,必须走出著作权保护模式的藩篱和迷雾,直面人工智能生成内容的本质,构建具有合理性的新型财产权制度。从数据视野来看,人工智能生成内容的技术本质为数据,法律本质为数据财产。随着数据时代的到来以及数据立法的展开,人工智能生成内容的数据财产权确权模式必然浮出水面。数据财产权确权模式是依托于数据法律制度的出现与发展提出的,是立足于人工智能生成内容的数据本质形成的,是基于人工智能生成内容的数据财产法律属性揭示的确权模式选择。在综合考量产业目的、盈利模式、风险成本、商业实践以及使用者目的来看,人工智能生成内容的权利主体应当为服务使用者而不是服务提供者,权利保护应适用“财产规则”和“禁易规则”。

关键词： aiGC 人工智能生成内容著作权数据数据财产权

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De novo synthesis of atropisomeric benzofurans via Cu/SPDO complex catalyzed asymmetric formal [3 + 2] annulation

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Science China Chemistry 2025年第01期 174-180页

作者： Fan-Xiao Meng Xing-Yu Wang Ka Lu Ju-Song yang Fu-min Zhang ai-Jun Ma Bao Du Yong-Qiang Tu State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical Engineering Lanzhou University School of Chemistry and Chemical Engineering Shanghai Jiao Tong University School of Biotechnology and Health Sciences Wuyi University

Herein, the de novo synthesis of atropisomeric benzofurans through the Cu/spirocyclic-pyrrolidine-oxazoline(SPDO) complex catalyze asymmetric formal [3 + 2] cycloaddition between quinones and ynamides is explored, producing a range of structurally diverse axially chiral benzofurans in satisfactory yields with good to excellent enantioselectivities. Furthermore, density functional theory calculations were applied to explain the possible reaction mechanism.

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